Results 71 to 80 of about 273,034 (301)
Learning Tuple Probabilities [PDF]
Learning the parameters of complex probabilistic-relational models from labeled training data is a standard technique in machine learning, which has been intensively studied in the subfield of Statistical Relational Learning (SRL), but---so far---this is
Dylla, Maximilian, Theobald, Martin
core +1 more source
Statistical relational learning for document mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have complex relational structures. We propose an integrated approach to statistical modelling from relational databases.
A. Popescul +3 more
openaire +2 more sources
A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai +4 more
wiley +1 more source
ABSTRACT Systems and structures designed to protect and support young people, specifically (in this paper) young women, are ironically the same systems that maintain gender disparity. Consequently, this has influenced the embodied identities of young women who experience and use violence. Such systemic and structural intersectionality has impacted upon
Louise Rak +3 more
wiley +1 more source
Measuring the Impact of Learning levels on the Intellectual Capital in the Industrial Organizations: an Empirical Assessment [PDF]
In knowledge-based economy, intellectual capital is used to create organizational value and success of an organization depends on keeping such scare resources. In addition, organizational learning is one of the most important organizational capabilities,
Reza Hosnavi, Majid Ramezan
doaj
The network intrusion detection system is a core technology of network security that detects packets for malicious activities occurring in the network and is an essential element for stable services in extended network environments such as big data and ...
Jihoon Yoo +4 more
doaj +1 more source
ABSTRACT This study explores youth violence towards police officers in Australia through the Power Threat Meaning Framework (PTMF) to better understand the underlying factors contributing to such violence; focusing on power dynamics, childhood adversity, and trauma.
Dimitra Lattas +4 more
wiley +1 more source
Introducing Data Science Techniques by Connecting Database Concepts and dplyr
Early exposure to data science skills, such as relational databases, is essential for students in statistics as well as many other disciplines in an increasingly data driven society.
Jennifer E. Broatch +2 more
doaj +1 more source
Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis
BackgroundSuicide risk assessment usually involves an interaction between doctors and patients. However, a significant number of people with mental disorders receive no treatment for their condition due to the limited access to mental health care ...
Ramírez-Cifuentes, Diana +7 more
doaj +1 more source
A comparison of statistical relational learning and graph neural networks for aggregate graph queries [PDF]
Varun Embar +2 more
openalex +1 more source

